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Project : This project supports web-based product particularly Gift Module through the creation of automated and performance tests using behavior driven development (BDD) . I am involved in "For Her" section of the gift module and it includes "All Gifts" page where we get a list of all items with 6 categories of filter. These categories help to reduce time in searching of an item and can be used in any combination to get nearer to our requirements. A major part of this effort involves in adapting our current processes and tools to better support our Digital transformation ad supporting Web based application and portal.
Responsibilities:
Environment: IE 11.0/10.0, Google Chrome, Firefox, Java 7, Selenium Web Driver, Cucumber, Maven, TestNG, REST API, HTML 5.0, SQL Developer, GIT, Jenkins, Appium
Project : Mortgage Approval Application Process (MAAP)
This project is developed based on different phases of mortgage loan processing testing the user interface and web services in the backend.
Responsibilities:
Environment : Selenium Web Driver, Maven, Web services, SoapUI, Restful, Appium, Junit, TestNG, GIT, System testing, UI Automator, UNIX,Android Studio, Jira, Agile, RDBMS
Project: Connected Health (mobile and web application)
This project mainly focused on to recording health data from medical devices(Blood pressure monitor, oximeter and weighing scale) that are Continua compliant and store the data in a database for future use. The web application version of this project presented the stored test data in table format, allowed users to upload and download their results / scan reports.
Responsibilities:
Environment: IE 11.0/10.0, Google Chrome, Firefox, Java 7, Selenium Web Driver, Cucumber, Maven, TestNG, REST API, HTML 5.0, SQL Developer, GIT, Jenkins, Appium
Project : Object Detection using Histogram of Oriented Gradients (HOG) algorithm in Advanced Driver Assistance System (ADAS)
This project mainly focused on detection of objects such as Vehicle and Pedestrian using Histogram of Oriented Gradient algorithm. Live video is captured from the camera that is mounted on the car. This video is then converted to images and image processing algorithms are performed on it. The detected objects are marked and then sent to the display screen.
Main objective of this project is to warn the driver for any approaching / close by object that could cause a crash.
Responsibilities:
Environment: C, Microsoft Visual Studio, OpenCV, TI's TDA2x , DSP, Embedded Vision Engine, Code Composer Studio, Windows, Linux(Ubuntu), Computer Vision
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